Startups · AI

ML Research Engineer, Training

Weave Robotics · San Francisco, CA · On-site

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About Weave Robotics

Practical and delightful home robots. Backed by Y Combinator.

About the role

Most robot learning research is graded on evals that don't survive contact with the field. Ours is graded by robots doing useful work in real homes and businesses, every day. We're one of the first companies with a deployed fleet generating real-world robot data at terabyte scale. The pipeline and training stack you build are what turns that data into capability. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Any (new grads ok) of experience
  • US citizen/visa only
  • Full-time Engineering role
More about this role

Weave was founded to build the robots we’d want to have in our own home. We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time to spend on what’s important.

We also believe robots are in a sense like any other product: to matter, they have to ship. Our robots are already operating in real homes and businesses, giving us the opportunity to rapidly improve from real-world experience. With a growing team, strong customer demand, and capital for expansion, we’re entering an exciting stage of growth—and we’re looking for people with exceptional talent and standards to help bring home robotics to millions of households.

Most robot learning research is graded on evals that don't survive contact with the field. Ours is graded by robots doing useful work in real homes and businesses, every day. We're one of the first companies with a deployed fleet generating real-world robot data at terabyte scale. The pipeline and training stack you build are what turns that data into capability.

Model quality is set as much by training as by architecture: what data gets in, how it's sampled, whether the run is stable, or whether a...

Read the full posting on Weave Robotics's site ↗

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